CERN Accelerating science

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1.
Extension of Signal Monitoring Applications with Machine Learning / Obermair, Christoph
The Large Hadron Colider (LHC) is the world’s largest particle accelerator [...]
CERN-THESIS-2020-010 - Graz : Obermair Christoph, 2020-02-28. - 81 p.

Full text
2.
Signal monitoring for the LHC - Development of an application for analyzing the main quadrupole busbar resistance / Obermair, Christoph
In 2008 a faulty interconnection between two superconducting dipole magnets in the LHC led to an arc. [...]
CERN-STUDENTS-Note-2018-156.
- 2018
Access to fulltext
3.
Anomaly Detection in Conditioning Procedures / Hofmann-Wellenhof, Martin (Graz University of Technology) ; Obermair, Christoph (Graz University of Technology (AT))
In this report, we summarize our approach to find anomalies in conditioning procedures with an LSTM autoencoder. [...]
CERN-OPEN-2022-010.
- 2022. - 22 p.
Preprint
4.
Interpretable Fault Prediction for CERN Energy Frontier Colliders / Obermair, Christoph
The Large Hadron Collider (LHC) is the world’s highest energy particle collider, which has already delivered data for numerous physical discoveries [...]
CERN-THESIS-2023-321 - 151.

5.
Workshop on Dust Charging and Beam-Dust Interaction in Particle Accelerators / Blaszkiewicz, Milosz Robert (CERN) ; Felsberger, Lukas (CERN) ; Hernalsteens, Cedric (CERN) ; Heron, Jack (CERN) ; Obermair, Christoph (Graz University of Technology (AT)) ; Rosaz, Guillaume Jonathan (CERN) ; Schmidt, Rudiger (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE)) ; Uythoven, Jan (CERN) ; Wiesner, Christoph (CERN) ; Wollmann, Daniel (CERN) et al.
The effects of beam-dust interactions have been observed in particle accelerators and have been studied as early as the 1960s. [...]
CERN-ACC-NOTE-2023-0025.
- 2023.
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6.
Machine Learning with a Hybrid Model for Monitoring of the Protection Systems of the LHC / Obermair, Christoph (CERN ; Graz, Tech. U.) ; Apollonio, Andrea (CERN) ; Charifoulline, Zinour (CERN) ; Maciejewski, Michal (CERN) ; Pernkopf, Franz (Graz, Tech. U.) ; Verweij, Arjan (CERN)
The LHC is the world’s largest particle accelerator and uses a complex set of sophisticated and highly reliable machine protection systems to ensure a safe operation with high availability for particle physics production. The data gathered during several years of successful operation allow the use of data-driven methods to assist experts in finding anomalies in the behavior of those protection systems. [...]
Geneva : JACoW, 2021 - 4 p. - Published in : JACoW IPAC 2021 (2021) 1072-1075 Fulltext: PDF;
In : 12th International Particle Accelerator Conference (IPAC 2021), Online, 24 - 28 May 2021, pp.1072-1075
7.
Long term performance of different radon remedial methods in Sweden / Clavensjoe, B
The object of this project was to investigate the long time effectiveness of different radon remedial methods [...]
SSI-2002-10. - Helsinki : Swed. Radiat. Protect. Auth., 2002. - 195 p.
fulltext
8.
Initial Experience with the Machine Protection System for LHC / Schmidt, Ruediger (CERN) ; Assmann, Ralph (CERN) ; Dehning, Bernd (CERN) ; Ferro-Luzzi, Massimiliano (CERN) ; Goddard, Brennan (CERN) ; Lamont, Mike (CERN) ; Siemko, Andrzej (CERN) ; Uythoven, Jan (CERN) ; Wenninger, Jorg (CERN) ; Zerlauth, Markus (CERN)
For nominal beam parameters at 7 TeV/c each proton beam with a stored energy of 362 MJ threatens to damage accelerator equipment in case of uncontrolled beam loss. These parameters will only be reached after some years of operation, however, a small fraction of this energy is already sufficient to damage accelerator equipment or experiments [...]
2010 External link: Published version from JACoW
In : 1st International Particle Accelerator Conference, Kyoto, Japan, 23 - 28 May 2010, pp.TUOCMH03
9.
Ultra Fast Beam Loss Mechanisms at the LHC and their Detection for Use in Machine Protection / Stein, Oliver
At the Large Hadron Collider (LHC) high intensity proton beams are accelerated up to 7 TeV resulting in 362 MJ of stored energy in each beam [...]
CERN-THESIS-2017-430 - 147 p.

Fulltext
10.
Interpretable Anomaly Detection in the LHC Main Dipole Circuits With Nonnegative Matrix Factorization / Obermair, Christoph (CERN ; Graz, Tech. U.) ; Apollonio, Andrea (CERN) ; Charifoulline, Zinour (CERN) ; Felsberger, Lukas (CERN) ; Janitschke, Marvin (CERN ; U. Rostock) ; Pernkopf, Franz (Graz, Tech. U.) ; Ravaioli, Emmanuele (CERN) ; Verweij, Arjan (CERN) ; Wollmann, Daniel (CERN) ; Wozniak, Mariusz (CERN)
CERN's Large Hadron Collider (LHC), with its eight superconducting main dipole circuits, has been in operation for over a decade. During this time, relevant operational parameters of the circuits, including circuit current, voltages across magnets and their coils, and current to ground, have been recorded. [...]
2024 - 12 p. - Published in : IEEE Trans. Appl. Supercond. 34 (2024) 4004112 Fulltext: PDF;

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